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» An Approach to Generation of Decision Rules
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EMS
2008
IEEE
15 years 4 months ago
A Weighted Utility Framework for Mining Association Rules
Association rule mining (ARM) identifies frequent itemsets from databases and generates association rules by assuming that all items have the same significance and frequency of oc...
M. Sulaiman Khan, Maybin K. Muyeba, Frans Coenen
RSFDGRC
2005
Springer
111views Data Mining» more  RSFDGRC 2005»
15 years 3 months ago
Feature Selection with Adjustable Criteria
Abstract. We present a study on a rough set based approach for feature selection. Instead of using significance or support, Parameterized Average Support Heuristic (PASH) consider...
Jingtao Yao, Ming Zhang
ICDM
2006
IEEE
140views Data Mining» more  ICDM 2006»
15 years 3 months ago
Mining the Future: Predicting Itemsets' Support of Association Rules Mining
This paper proposes a novel research dimension in the field of data mining, which is mining the future data before its arrival, or in other words: predicting association rules ahe...
Shenoda Guirguis, Khalil M. Ahmed, Nagwa M. El-Mak...
GIS
2005
ACM
15 years 10 months ago
Extracting spatial association rules from spatial transactions
Georeferenced information is growing every day, and geographical information systems are becoming crucial in many decision processes. As a consequence, extracting knowledge from G...
Salvatore Rinzivillo, Franco Turini
INTERSPEECH
2010
14 years 4 months ago
On the relation of Bayes risk, word error, and word posteriors in ASR
In automatic speech recognition, we are faced with a wellknown inconsistency: Bayes decision rule is usually used to minimize sentence (word sequence) error, whereas in practice w...
Ralf Schlüter, Markus Nußbaum-Thom, Her...